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Background: Given the rapidly growing burden of cardiovascular disease (CVD) in Asia, this study forecasts the CVD burden and associated risk factors in Asia from 2025 to 2050. Methods: Data from the Global Burden of Disease 2019 study was used to construct regression models predicting prevalence, mortality, and disability-adjusted life years (DALYs) attributed to CVD and risk factors in Asia in the coming decades. Findings: Between 2025 and 2050, crude cardiovascular mortality is expected to rise 91.2% despite a 23.0% decrease in the age-standardised cardiovascular mortality rate (ASMR). Ischaemic heart disease (115 deaths per 100,000 population) and stroke (63 deaths per 100,000 population) will remain leading drivers of ASMR in 2050. Central Asia will have the highest ASMR (676 deaths per 100,000 population), more than three-fold that of Asia overall (186 deaths per 100,000 population), while high-income Asia sub-regions will incur an ASMR of 22 deaths per 100,000 in 2050. High systolic blood pressure will contribute the highest ASMR throughout Asia (105 deaths per 100,000 population), except in Central Asia where high fasting plasma glucose will dominate (546 deaths per 100,000 population). Interpretation: This forecast forewarns an almost doubling in crude cardiovascular mortality by 2050 in Asia, with marked heterogeneity across sub-regions. Atherosclerotic diseases will continue to dominate, while high systolic blood pressure will be the leading risk factor. Funding: This was supported by the NUHS Seed Fund (NUHSRO/2022/058/RO5+6/Seed-Mar/03), National Medical Research Council Research Training Fellowship (MH 095:003/008-303), National University of Singapore Yong Loo Lin School of Medicine's Junior Academic Fellowship Scheme, NUHS Clinician Scientist Program (NCSP2.0/2024/NUHS/NCWS) and the CArdiovascular DiseasE National Collaborative Enterprise (CADENCE) National Clinical Translational Program (MOH-001277-01).
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BACKGROUND: Door-to-balloon time (DTBT) for ST-elevation myocardial infarction (STEMI) is a performance metric by which primary percutaneous coronary intervention (PPCI) services are assessed. METHODS: Consecutive patients presenting with STEMI undergoing PPCI between January 2007 to December 2019 from the Singapore Myocardial Infarction Registry were included. Patients were stratified based on DTBT (≤60 min, 61-90 min, 91-180 min) and Killip status (I-III vs. IV). Outcomes assessed included all-cause mortality and major adverse cardiovascular events (MACE) at 30-days and 1-year. RESULTS: In total, 13,823 patients were included, with 82.59% achieving DTBT ≤90 min and 49.77% achieving DTBT ≤60 min. For Killip I-III (n = 11,591,83.85%), the median DTBT was 60[46-78]min. The 30-day all-cause mortality for DTBT of ≤60 min, 61-90 min and 91-180 min was 1.08%, 2.17% and 4.33% respectively (p < 0.001). On multivariate analysis, however, there was no significant difference for 30-day and 1-year outcomes across all DTBT (p > 0.05). For Killip IV, the median DTBT was 68[51-91]min. The 30-day all-cause mortality for DTBT of ≤60 min, 61-90 min and 91-180 min was 11.74%, 20.48% and 35.06% respectively (p < 0.001). On multivariate analysis for 30-day and 1-year outcomes, DTBT 91-180 min was an independent predictor of worse outcomes (p < 0.05), but there was no significant difference between DTBT of ≤60 min and 61-90 min (p > 0.05). CONCLUSION: In Killip I-III patients, DTBT had no significant impact on outcomes upon adjustment for confounders. Conversely, for Killip IV patients, a DTBT of >90 min was associated with significantly higher adverse outcomes, with no differences between a DTBT of ≤60 min vs. 61-90 min. Outcomes in STEMI involve a complex interplay of factors and recommendations of a lowered DTBT of ≤60 min will require further evaluation.
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Introduction: In 2022, the Minister for Health of Singapore launched Healthier SG, a national strategy in championing the shift towards a population health approach. Method: The Singapore Heart Foundation conducted a series of roundtable discussions, also attended by representatives of the Singapore Cardiac Society and the Chapter of Cardiologists of the Academy of Medicine Singapore. During the meetings, the authors formulated interventions supportive of Healthier SG that specifically aimed to uplift the state of cardiovascular (CV) preventive care in Singapore. Results: In line with Healthier SG, the authors propose a 3-pronged approach ("Healthier Heart SG") to augment the success of Healthier SG in achieving good CV outcomes. This proposal includes the following components: (1) a call to update the standards of care in addressing the 5 main modifiable risk factors of cardiovascular disease (CVD); (2) patient education through cooperation between healthcare professionals and community partners for a whole-of-system approach; and (3) support for integrated care, including access to cardiac rehabilitation in the community, improved referral processes and access to nutrition/dietetics counselling and tobacco cessation, optimal use of information technology, and continued CV research. Conclusion: Healthier Heart SG would bring the standards of care and CV care delivery in Singapore closer to achieving the vision of proactive prevention of CVD and CV morbidity and mortality. This can only be achieved through the concerted efforts of healthcare professionals, policymakers and community partners, coupled with the cooperation of community members.
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Cardiovascular Diseases , Societies, Medical , Singapore/epidemiology , Humans , Cardiovascular Diseases/prevention & control , Cardiology/organization & administration , Patient Education as Topic , Cardiac Rehabilitation/methods , Foundations/organization & administration , Heart Disease Risk FactorsABSTRACT
INTRODUCTION: Anticoagulants play a vital role as part of the antithrombotic therapy of myocardial infarction and are complementary to antiplatelet therapies. In the acute setting, the rationale for their use is to antagonize the ongoing clotting cascade including during percutaneous coronary intervention. Anticoagulation may be an important part of the longer-term antithrombotic strategy especially in patients who have other existing indications (e.g. atrial fibrillation) for their use. AREAS COVERED: In this narrative review, the authors provide a contemporary summary of the anticoagulation strategies of patients presenting with NSTEMI, both in terms of anticoagulation during the acute phase as well as suggested antithrombotic regimens for patients who require long-term anticoagulation for other indications. EXPERT OPINION: Patients presenting with non-ST-elevation myocardial infarction (NSTEMI) should be initiated on anticoagulation (e.g. heparin/low molecular weight heparin) for the initial hospitalization period for those medically managed or until percutaneous coronary intervention. Longer term management of NSTEMI for patients with an existing indication for long-term anticoagulation should comprise triple antithrombotic therapy of anticoagulant (preferably DOAC) with aspirin and clopidogrel for up to 1 month (typically 1 week or until hospital discharge), followed by DOAC plus clopidogrel for up to 1 year, and then DOAC monotherapy thereafter.
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Anticoagulants , Fibrinolytic Agents , Non-ST Elevated Myocardial Infarction , Percutaneous Coronary Intervention , Platelet Aggregation Inhibitors , Humans , Anticoagulants/therapeutic use , Anticoagulants/administration & dosage , Percutaneous Coronary Intervention/methods , Platelet Aggregation Inhibitors/therapeutic use , Platelet Aggregation Inhibitors/administration & dosage , Non-ST Elevated Myocardial Infarction/drug therapy , Fibrinolytic Agents/therapeutic use , Fibrinolytic Agents/administration & dosage , Drug Therapy, Combination , Time FactorsABSTRACT
INTRODUCTION: Messenger ribonucleic acid (mRNA) severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccines have been associated with myocarditis/pericarditis, especially in young males. We evaluated the risk of myocarditis/pericarditis following mRNA vaccines by brand, age, sex and dose number in Singapore. METHODS: Adverse event reports of myocarditis/pericarditis following mRNA vaccines received by the Health Sciences Authority from 30 December 2020 to 25 July 2022 were included, with a data lock on 30 September 2022. Case adjudication was done by an independent panel of cardiologists using the US Centers for Disease Control and Prevention case definition. Reporting rates were compared with expected rates using historical data from 2018 to 2020. RESULTS: Of the 152 adjudicated cases, males comprised 75.0%. The median age was 30 years. Most cases occurred after Dose 2 (49.3%). The median time to onset was 2 days. Reporting rates were highest in males aged 12-17 years for both primary series (11.5 [95% confidence interval [CI] 6.7-18.4] per 100,000 doses, post-Dose 2) and following booster doses (7.1 [95% CI 3.0-13.9] per 100,000 doses). In children aged 5-11 years, myocarditis remained very rare (0.2 per 100,000 doses). The reporting rates for Booster 1 were generally similar or lower than those for Dose 2. CONCLUSIONS: The risk of myocarditis/pericarditis with mRNA vaccines was highest in adolescent males following Dose 2, and this was higher than historically observed background rates. Most cases were clinically mild. The risk of myocarditis should be weighed against the benefits of receiving an mRNA vaccine, keeping in mind that SARS-CoV-2 infections carry substantial risks of myocarditis/pericarditis, as well as the evolving landscape of the disease.
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Rare genetic diseases affect 5-8% of the population but are often undiagnosed or misdiagnosed. Electronic health records (EHR) contain large amounts of data, which provide opportunities for analysing and mining. Data mining, in the form of cluster analysis and visualisation, was performed on a database containing deidentified health records of 1.28 million patients across 3 major hospitals in Singapore, in a bid to improve the diagnostic process for patients who are living with an undiagnosed rare disease, specifically focusing on Fabry Disease and Familial Hypercholesterolaemia (FH). On a baseline of 4 patients, we identified 2 additional patients with potential diagnosis of Fabry disease, suggesting a potential 50% increase in diagnosis. Similarly, we identified > 12,000 individuals who fulfil the clinical and laboratory criteria for FH but had not been diagnosed previously. This proof-of-concept study showed that it is possible to perform mining on EHR data albeit with some challenges and limitations.
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Fabry Disease , Hyperlipoproteinemia Type II , Undiagnosed Diseases , Humans , Rare Diseases/diagnosis , Rare Diseases/epidemiology , Rare Diseases/genetics , Electronic Health Records , Hyperlipoproteinemia Type II/genetics , Cluster AnalysisABSTRACT
Background: A lack of geographic and racial diversity in clinical trial populations may arise from a disproportionate focus on the United States and Europe for trial leadership and conduct. Inadequate diversity may compromise the external validity to the Asia-Pacific (APAC) region, where 60% of global cardiometabolic disease exists. Objectives: This study aimed to assess the proportion and trends of Asian race participants and APAC authorship in cardiometabolic trials. Methods: We performed a systematic review of all cardiovascular, diabetes and obesity-related randomized controlled trials (phase ≥2, n = ≥100) published in these major medical journals: the New England Journal of Medicine, the Lancet, and the Journal of the American Medical Association between January 1, 2011, and December 31, 2020. Trial leadership was defined by first authorship, and any listed author was considered a trial collaborator. Temporal trends were evaluated using the Jonckheere-Terpstra proportion test and correlations using Pearson's correlation coefficient. Participant-to-prevalence ratios (PPR) were determined using Global Health Data Exchange registry data. Results: A total of 8.3% (218,613 of 2,619,710) participants identified as being of Asian race and 7.7% of total enrollment occurred in APAC. APAC lead authorship occurred in 52 of 656 (7.9%) trials and collaboration in 10.1% (1312 of 13,000 of authors), which correlated with Asian enrollment (r = 0.63 and r = 0.76, respectively). A marginal increase in the proportion of Asian race (Δ1.40% ± 6.95%/year, P = 0.003) and APAC regional (Δ1.46% ± 8.67%/year, P = 0.003) enrollment was observed; however, severe regional underrepresentation persisted (PPR <0.30). Conclusions: Despite a favorable trend over the past decade, Asian participants and authors from APAC remain significantly underrepresented in seminal cardiometabolic trials; barriers to trial conduct and leadership in this region must be addressed.
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BACKGROUND: Atrial fibrillation (AF) is a cause of serious morbidity such as stroke. Early detection and treatment of AF is important. Current guidelines recommend screening via opportunistic pulse taking or 12lead electrocardiogram. Mid-term ECG patch monitors increases the sensitivity of AF detection. METHODS: The Singapore Atrial Fibrillation Study is a prospective multi-centre study aiming to study the incidence of AF in patients with no prior AF and a CHA2DS2-VASc score of at least 1, with the use of a mid-term continuous ECG monitoring device (Spyder ECG). Consecutive patients from both inpatient and outpatient settings were recruited from 3 major hospitals from May 2016 to December 2019. RESULTS: Three hundred and fifty-five patients were monitored. 6 patients (1.7%) were diagnosed with AF. There were no significant differences in total duration of monitoring between the AF and non-AF group (6.39 ± 3.19 vs 5.42 ± 2.46 days, p = 0.340). Patients with newly detected AF were more likely to have palpitations (50.0% vs 11.8%, p = 0.027). Half of the patients (n = 3, 50.0%) were diagnosed on the first day of monitoring and the rest were diagnosed after 24 h. On univariate analysis, only hyperlipidemia was associated with reduced odds of being diagnosed with AF (OR HR 0.08 CI 0.01-0.74, p = 0.025). In a group of 128 patients who underwent coronary artery bypass grafting and had post-operative ECG monitoring, 9 patients (7.0%) were diagnosed with post-operative AF. CONCLUSIONS: The use of non-invasive mid-term patch-based ECG monitoring is an effective modality for AF screening.
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Atrial Fibrillation , Stroke , Humans , Electrocardiography , Prospective Studies , Mass ScreeningABSTRACT
Background: Understanding the trajectories of metabolic risk factors for acute myocardial infarction (AMI) is necessary for healthcare policymaking. We estimated future projections of the incidence of metabolic diseases in a multi-ethnic population with AMI. Methods: The incidence and mortality contributed by metabolic risk factors in the population with AMI (diabetes mellitus [T2DM], hypertension, hyperlipidemia, overweight/obesity, active/previous smokers) were projected up to year 2050, using linear and Poisson regression models based on the Singapore Myocardial Infarction Registry from 2007 to 2018. Forecast analysis was stratified based on age, sex and ethnicity. Findings: From 2025 to 2050, the incidence of AMI is predicted to rise by 194.4% from 482 to 1418 per 100,000 population. The largest percentage increase in metabolic risk factors within the population with AMI is projected to be overweight/obesity (880.0% increase), followed by hypertension (248.7% increase), T2DM (215.7% increase), hyperlipidemia (205.0% increase), and active/previous smoking (164.8% increase). The number of AMI-related deaths is expected to increase by 294.7% in individuals with overweight/obesity, while mortality is predicted to decrease by 11.7% in hyperlipidemia, 29.9% in hypertension, 32.7% in T2DM and 49.6% in active/previous smokers, from 2025 to 2050. Compared with Chinese individuals, Indian and Malay individuals bear a disproportionate burden of overweight/obesity incidence and AMI-related mortality. Interpretation: The incidence of AMI is projected to continue rising in the coming decades. Overweight/obesity will emerge as fastest-growing metabolic risk factor and the leading risk factor for AMI-related mortality. Funding: This research was supported by the NUHS Seed Fund (NUHSRO/2022/058/RO5+6/Seed-Mar/03) and National Medical Research Council Research Training Fellowship (MOH-001131). The SMIR is a national, ministry-funded registry run by the National Registry of Diseases Office and funded by the Ministry of Health, Singapore.
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OBJECTIVE: Among patients with heart failure (HF), we examined 1) the evolution of patient involvement in decision making over 2 y, 2) the association of patient characteristics with decision-making roles, and 3) the association of decision-making roles with distress, spiritual well-being, and quality of physician communication. METHODS: We administered the survey every 4 mo over 24 mo to patients with New York Heart Association class 3/4 symptoms recruited from inpatient clinics. The decision-making roles were categorized as no patient involvement, physician/family-led, joint (with family and/or physicians), patient-led, or patient-alone decision making. The associations between patient characteristics and decision-making roles were assessed using a mixed-effects ordered logistic regression, whereas those between patient outcomes and decision-making roles were investigated using mixed-effects linear regressions. RESULTS: Of the 557 patients invited, 251 participated in the study. The most common roles in decision making at baseline assessment were "no involvement" (27.53%) and "patient-alone decision making" (25.10%). The proportions of different decision-making roles did not change over 2 y (P = 0.37). Older age (odds ratio [OR] = 0.97; P = 0.003) and being married (OR = 0.63; P = 0.035) were associated with lower involvement in decision making. Chinese ethnicity (OR = 1.91; P = 0.003), higher education (OR = 1.87; P = 0.003), awareness of terminal condition (OR = 2.00; P < 0.001), and adequate self-care confidence (OR = 1.74; P < 0.001) were associated with greater involvement. Compared with no patient involvement, joint (ß = -0.58; P = 0.026) and patient-led (ß = -0.59; P = 0.014) decision making were associated with lower distress, while family/physician-led (ß = 4.37; P = 0.001), joint (ß = 3.86; P < 0.001), patient-led (ß = 3.46; P < 0.001), and patient-alone (ß = 3.99; P < 0.001) decision making were associated with better spiritual well-being. CONCLUSION: A substantial proportion of patients was not involved in decision making. Patients should be encouraged to participate in decision making since it is associated with lower distress and better spiritual well-being. HIGHLIGHTS: The level of involvement in medical decision making did not change over time among patients with heart failure. A substantial proportion of patients were not involved in decision making throughout the 24-mo study period.Patients' involvement in decision making varied by age, ethnicity, education level, marital status, awareness of the terminal condition, and confidence in self-care.Compared with no patient involvement in decision making, joint and patient-led decision making were associated with lower distress, and any level of patient involvement in decision making was associated with better spiritual well-being.
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Decision Making , Heart Failure , Humans , Prospective Studies , Physician-Patient Relations , Patient Participation , Patient Reported Outcome Measures , Clinical Decision-Making , Heart Failure/therapyABSTRACT
Introduction: We aimed to understand the awareness and attitudes of elderly Southeast Asians towards telehealth services during the coronavirus disease 2019 (COVID-19) pandemic in this study. Methods: In this qualitative study, 78 individuals from Singapore (51.3% female, mean age 73.0 ± 7.6 years) were interviewed via telephone between 13 May 2020 and 9 June 2020 during Singapore's first COVID-19 'circuit breaker'. Participants were asked to describe their understanding of telehealth, their experience of and willingness to utilise these services, and the barriers and facilitators underlying their decision. Transcripts were analysed using thematic analysis, guided by the United Theory of Acceptance Use of Technology framework. Results: Of the 78 participants, 24 (30.8%) were able to describe the range of telehealth services available and 15 (19.2%) had previously utilised these services. Conversely, 14 (17.9%) participants thought that telehealth comprised solely home medication delivery and 50 (51.3%) participants did not know about telehealth. Despite the advantages offered by telehealth services, participants preferred in-person consultations due to a perceived lack of human interaction and accuracy of diagnoses, poor digital literacy and a lack of access to telehealth-capable devices. Conclusion: Our results showed poor overall awareness of the range of telehealth services available among elderly Asian individuals, with many harbouring erroneous views regarding their use. These data suggest that public health education campaigns are needed to improve awareness of and correct negative perceptions towards telehealth services in elderly Asians.
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Acute myocardial infarction (AMI) is a major cause of morbidity and mortality in the Asia-Pacific region, and mortality rates differ between countries in the region. Systems of care have been shown to play a major role in determining AMI outcomes, and this review aims to highlight pre-hospital and in-hospital system deficiencies and suggest possible improvements to enhance quality of care, focusing on Korea, Japan, Singapore and Malaysia as representative countries. Time to first medical contact can be shortened by improving patient awareness of AMI symptoms and the need to activate emergency medical services (EMS), as well as by developing robust, well-coordinated and centralized EMS systems. Additionally, performing and transmitting pre-hospital electrocardiograms, algorithmically identifying patients with high risk AMI and developing hospital networks that appropriately divert such patients to percutaneous coronary intervention-capable hospitals have been shown to be beneficial. Within the hospital environment, developing and following clinical practice guidelines ensures that treatment plans can be standardised, whilst integrated care pathways can aid in coordinating care within the healthcare institution and can guide care even after discharge. Prescription of guideline directed medical therapy for secondary prevention and patient compliance to medications can be further optimised. Finally, the authors advocate for the establishment of more regional, national and international AMI registries for the formal collection of data to facilitate audit and clinical improvement.
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AIMS: To assess three well-established type 2 diabetes (T2D) risk prediction models based on fasting plasma glucose (FPG) in Chinese, Malays, and Indians, and to develop simplified risk models based on either FPG or HbA1c. METHODS: We used a prospective multiethnic Singapore cohort to evaluate the established models and develop simplified models. 6,217 participants without T2D at baseline were included, with an average follow-up duration of 8.3 years. The simplified risk models were validated in two independent multiethnic Singapore cohorts (N = 12,720). RESULTS: The established risk models had moderate-to-good discrimination (area under the receiver operating characteristic curves, AUCs 0.762 - 0.828) but a lack of fit (P-values < 0.05). Simplified risk models that included fewer predictors (age, BMI, systolic blood pressure, triglycerides, and HbA1c or FPG) showed good discrimination in all cohorts (AUCs ≥ 0.810), and sufficiently captured differences between the ethnic groups. While recalibration improved fit the simplified models in validation cohorts, there remained evidence of miscalibration in Chinese (p ≤ 0.012). CONCLUSIONS: Simplified risk models including HbA1c or FPG had good discrimination in predicting incidence of T2D in three major Asian ethnic groups. Risk functions with HbA1c performed as well as those with FPG.
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Patients with chronic kidney disease (CKD) have traditionally been excluded from randomized trials. We aimed to compare percutaneous coronary intervention versus conservative management, and early intervention (EI; within 24 hours of admission) versus delayed intervention (DI; after 24 to 72 hours of admission) in patients with non-ST-segment elevation myocardial infarction (NSTEMI) and concomitant CKD. An electronic literature search was performed to search for studies comparing invasive management to conservative management or EI versus DI in patients with NSTEMI with CKD. The primary outcome was all-cause mortality; secondary outcomes were acute kidney injury (AKI) or dialysis, major bleeding, and recurrent MI. Hazard ratios (HRs) for the primary outcome and odds ratios for secondary outcomes were pooled in random-effects meta-analyses. Eleven studies (140,544 patients) were analyzed. Invasive management was associated with lower mortality than conservative management (HR 0.62, 95% confidence interval 0.57 to 0.67, p <0.001, I2 = 47%), with consistent benefit across all CKD stages, except CKD 5. There was no significant mortality difference between EI and DI, but subgroup analyses showed significant benefit for EI in stage 1 to 2 CKD (HR 0.75, 95% confidence interval 0.58 to 0.97, p = 0.03, I2 = 0%), with no significant difference in stage 3 and 4 to 5 CKD. Invasive strategy was associated with higher odds of AKI or dialysis and major bleeding, but lower odds of recurrent MI compared with conservative management. In conclusion, in patients with NSTEMI and CKD, an invasive strategy is associated with significant mortality benefit over conservative management in most patients with CKD, but at the expense of higher risk of AKI and bleeding. EI appears to benefit those with early stages of CKD. Trial Registration: PROSPERO CRD42023405491.
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Acute Kidney Injury , Non-ST Elevated Myocardial Infarction , Renal Insufficiency, Chronic , ST Elevation Myocardial Infarction , Humans , Non-ST Elevated Myocardial Infarction/complications , Non-ST Elevated Myocardial Infarction/therapy , Acute Kidney Injury/epidemiology , Acute Kidney Injury/etiology , Conservative Treatment , Hospitalization , Renal Insufficiency, Chronic/complications , Renal Insufficiency, Chronic/epidemiologyABSTRACT
Genomic researchers increasingly utilize commercial cloud service providers (CSPs) to manage data and analytics needs. CSPs allow researchers to grow Information Technology (IT) infrastructure on demand to overcome bottlenecks when combining large datasets. However, without adequate security controls, the risk of unauthorized access may be higher for data stored on the cloud. Additionally, regulators are mandating data access patterns and specific security protocols for the storage and use of genomic data. While CSP provides tools for security and regulatory compliance, building the necessary controls required for cloud solutions is not trivial. Research Assets Provisioning and Tracking Online Repository (RAPTOR) by the Genome Institute of Singapore is a cloud-native genomics data repository and analytics platform that implements a "five-safes" framework to provide security and governance controls to data contributors and users, leveraging CSP for sharing and analysis of genomic datasets without the risk of security breaches or running afoul of regulations.
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The COVID -19 pandemic impacted acute myocardial infarction (AMI) attendances, ST-elevation myocardial infarction (STEMI) treatments, and outcomes. We collated data from majority of primary percutaneous coronary intervention (PPCI)-capable public healthcare centres in Singapore to understand the initial impact COVID-19 had on essential time-critical emergency services. We present data comparisons from 'Before Disease Outbreak Response System Condition (DORSCON) Orange', 'DORSCON Orange to start of circuit breaker (CB)', and during the first month of 'CB'. We collected aggregate numbers of weekly elective PCI from four centres and AMI admissions, PPCI, and in-hospital mortality from five centres. Exact door-to-balloon (DTB) times were recorded for one centre; another two reported proportions of DTB times exceeding targets. Median weekly elective PCI cases significantly decreased from 'Before DORSCON Orange' to 'DORSCON Orange to start of CB' (34 vs 22.5, P = 0.013). Median weekly STEMI admissions and PPCI did not change significantly. In contrast, the median weekly non-STEMI (NSTEMI) admissions decreased significantly from 'Before DORSCON Orange' to 'DORSCON Orange to start of CB' (59 vs 48, P = 0.005) and were sustained during CB (39 cases). Exact DTB times reported by one centre showed no significant change in the median. Out of three centres, two reported significant increases in the proportion that exceeded DTB targets. In-hospital mortality rates remained static. In Singapore, STEMI and PPCI rates remained stable, while NSTEMI rates decreased during DORSCON Orange and CB. The severe acute respiratory syndrome (SARS) experience may have helped prepare us to maintain essential services such as PPCI during periods of acute healthcare resource strain. However, data must be monitored and increased pandemic preparedness measures must be explored to ensure that AMI care is not adversely affected by continued COVID fluctuations and future pandemics.
Subject(s)
COVID-19 , Myocardial Infarction , Non-ST Elevated Myocardial Infarction , Percutaneous Coronary Intervention , ST Elevation Myocardial Infarction , Humans , COVID-19/epidemiology , COVID-19/therapy , Pandemics , Singapore/epidemiology , Myocardial Infarction/therapy , ST Elevation Myocardial Infarction/therapy , Treatment Outcome , Retrospective StudiesABSTRACT
Objective: We examined the association between cardiorespiratory fitness (CRF), body mass index (BMI), incidence of major acute cardiovascular events (MACE), and all-cause mortality (ACM). Methods: We conducted a retrospective cohort study involving 212,631 healthy young men aged 16 to 25 years who had undergone medical examination and fitness testing (2.4 km run) from 1995 to 2015. Information on the outcomes of major acute cardiovascular events (MACE) and all-cause mortality (ACM) were obtained from the national registry data. Results: During 2,043,278 person-years of follow-up, 371 first MACE and 243 ACM events were recorded. Compared against the first run-time quintile, adjusted hazard ratios (HR) for MACE in the second to fifth quintiles were 1.26 (95% CI 0.84-1.91), 1.60 (95% CI 1.09-2.35), 1.60 (95% CI 1.10-2.33), and 1.58 (95% CI 1.09-2.30). Compared against the "acceptable risk" BMI category, the adjusted HRs for MACE in the "underweight," "increased risk," and "high-risk" categories were 0.97 (95% CI 0.69-1.37), 1.71 (95% CI 1.33-2.21), and 3.51 (95% CI 2.61-4.72), respectively. The adjusted HRs for ACM were increased in participants from the fifth run-time quintile in the "underweight" and "high-risk" BMI categories. The combined associations of CRF and BMI with MACE showed elevated hazard in the "BMI≥23-fit" category, which was more pronounced in the "BMI≥23-unfit" category. The hazards for ACM were elevated across the "BMI<23-unfit," "BMI≥23-fit," and "BMI≥23-unfit" categories. Conclusion: Lower CRF and elevated BMI were associated with increased hazards of MACE and ACM. A higher CRF did not fully compensate for elevated BMI in the combined models. CRF and BMI remain important targets for public health intervention in young men.
Subject(s)
Cardiorespiratory Fitness , Cardiovascular Diseases , Male , Humans , Body Mass Index , Cohort Studies , Retrospective Studies , ThinnessABSTRACT
Purpose: The COVID-19 pandemic has drastically disrupted global healthcare systems. With the higher demand for healthcare and misinformation related to COVID-19, there is a need to explore alternative models to improve communication. Artificial Intelligence (AI) and Natural Language Processing (NLP) have emerged as promising solutions to improve healthcare delivery. Chatbots could fill a pivotal role in the dissemination and easy accessibility of accurate information in a pandemic. In this study, we developed a multi-lingual NLP-based AI chatbot, DR-COVID, which responds accurately to open-ended, COVID-19 related questions. This was used to facilitate pandemic education and healthcare delivery. Methods: First, we developed DR-COVID with an ensemble NLP model on the Telegram platform (https://t.me/drcovid_nlp_chatbot). Second, we evaluated various performance metrics. Third, we evaluated multi-lingual text-to-text translation to Chinese, Malay, Tamil, Filipino, Thai, Japanese, French, Spanish, and Portuguese. We utilized 2,728 training questions and 821 test questions in English. Primary outcome measurements were (A) overall and top 3 accuracies; (B) Area Under the Curve (AUC), precision, recall, and F1 score. Overall accuracy referred to a correct response for the top answer, whereas top 3 accuracy referred to an appropriate response for any one answer amongst the top 3 answers. AUC and its relevant matrices were obtained from the Receiver Operation Characteristics (ROC) curve. Secondary outcomes were (A) multi-lingual accuracy; (B) comparison to enterprise-grade chatbot systems. The sharing of training and testing datasets on an open-source platform will also contribute to existing data. Results: Our NLP model, utilizing the ensemble architecture, achieved overall and top 3 accuracies of 0.838 [95% confidence interval (CI): 0.826-0.851] and 0.922 [95% CI: 0.913-0.932] respectively. For overall and top 3 results, AUC scores of 0.917 [95% CI: 0.911-0.925] and 0.960 [95% CI: 0.955-0.964] were achieved respectively. We achieved multi-linguicism with nine non-English languages, with Portuguese performing the best overall at 0.900. Lastly, DR-COVID generated answers more accurately and quickly than other chatbots, within 1.12-2.15 s across three devices tested. Conclusion: DR-COVID is a clinically effective NLP-based conversational AI chatbot, and a promising solution for healthcare delivery in the pandemic era.